Evidence map›Paper›PMID 38274449›Full record

ArticleFrontiers in medicine2023

Obstetric Medicine: the protocol for a prospective three-dimensional cohort study to assess maternity care for women with pre-existing conditions (ForMaT).

Elena Jost, Philipp Kosian, Gregory Gordon Greiner, Andrea Icks, Marie-Therese Schmitz, Matthias Schmid, Waltraut M Merz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Elena JostDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
Philipp KosianDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
Gregory Gordon GreinerInstitute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany.
Andrea IcksInstitute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany.
Marie-Therese SchmitzDepartment of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Matthias SchmidDepartment of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.
Waltraut M MerzDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
University Hospital Bonn · DEDeutsches Diabetes-Zentrum e.V. · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pregnancies in women with pre-existing medical conditions are on the rise. These pregnancies are characterized by an increased rate of maternal and perinatal complications, which can result in higher health care expenditures and altered pregnancy experiences. The purpose of this study is to integrally analyze maternity care for women with pre-existing conditions in the framework of a risk-adapted, interdisciplinary care by recording three substantial parts of maternity care: (1) maternal and perinatal outcome; (2) hospital costs and reimbursements covering the period from preconception counseling or initial antenatal visit to discharge after birth; and (3) women's experience of reproductive choice and becoming a mother in the presence of a pre-existing condition. Methods: In this observational, prospective, longitudinal, and monocentric cohort study, we aim to include a total of 1,500 women over a recruitment period of 15 months. Women registering for care at the Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Germany, are allocated to three groups based on their health and risk status: women with pre-existing conditions, as well as healthy women with obstetric risk factor and healthy women with a low-risk pregnancy. Participants are observed from time of initial consultation until discharge after birth. Analysis focuses on (1) maternal and perinatal outcome, especially rate of severe maternal and neonatal morbidity; (2) costs and reimbursements; and (3) surveys to capture of women's experience and health-related quality of life during the time of reproductive choice, pregnancy, and childbirth in the presence of pre-existing medical conditions. Discussion: With its complex three-dimensional design, the ForMaT-Trial is aiming to provide a comprehensive analysis of pregnancy and childbirth in women with pre-existing conditions. The results may serve as a basis for counseling and care of these women. By analyzing costs of specialized care, data for discussing reimbursement are generated. Lastly, our results may increase awareness for the perception of reproductive choice, pregnancy and motherhood in this continuously rising population.

Indexed as

health care costshigh-risk pregnancymaternal pre-existing conditionmaternity careObstetric Medicinepregnancy experiencerare diseasesevere maternal morbidity

Identifiers

PMID38274449
PMCPMC10808351
OpenAlexW4390805391

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.